| contributor author | Fwu‐Shiun Liou | |
| contributor author | John D. Borcherding | |
| date accessioned | 2017-05-08T20:42:01Z | |
| date available | 2017-05-08T20:42:01Z | |
| date copyright | March 1986 | |
| date issued | 1986 | |
| identifier other | %28asce%290733-9364%281986%29112%3A1%2890%29.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/23953 | |
| description abstract | Various methods are employed to measure labor utilization during power plant construction, one of which is work sampling. Work sampling attempts to evaluate how the work force spends its time at work. This provides timely information to management in order to determine whether corrective action or detailed study is needed to achieve a higher degree of efficiency. However, the effectiveness of work sampling in demonstrating true labor performance has not been statistically verified using data collected at construction sites. This study collects 45 work sampling data points from 11 nuclear power projects and 4 fossil fuel power projects. the relationship between work sampling and productivity has been strongly supported by this statistical analysis. This study also verifies that work sampling is a good labor productivity indicator as well as a useful predictor in a productivity projection model. | |
| publisher | American Society of Civil Engineers | |
| title | Work Sampling Can Predict Unit Rate Productivity | |
| type | Journal Paper | |
| journal volume | 112 | |
| journal issue | 1 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)0733-9364(1986)112:1(90) | |
| tree | Journal of Construction Engineering and Management:;1986:;Volume ( 112 ):;issue: 001 | |
| contenttype | Fulltext | |
